Fake data simulation to the rescue!
I couldn't get optimization to work when working with the model for German migration, so I finally decided to generate a full dataset using the model itself. Then try to recover the parameters I used. Still had problems... which is a bad sign, but led to debugging some simple code bugs... and now it fits like crazy!
#statistics #socialscience #data #datascience #julialang #turinglang
On Thursday afternoon (15:45) I'll host panel discussion on probabilistic programming (and what does it require to ge a new algorithm added to some PPL package) with panelists
- Mitzi Morris, #Stan / Columbia University
- Junpeng Lao @junpenglao, TFP / #PyMC / Google
- Tor Fjelde, #TuringLang / University of Cambridge
- Henri Pesonen @henri_pesonen, #ELFI / Oslo University Hospital
ArviZ is participating in Google Summer of Code 2023 under the NumFOCUS umbrella. We have projects in both Python and Julia. If interested in working on one of these projects, get in touch!
https://github.com/arviz-devs/arviz/wiki/GSoC-2023-projects
#GSOC #NumFOCUS #Python #JuliaLang #TuringLang #bayesian #FOSS
Soon Turing.jl users will be able to natively store all sampling outputs in an @ArviZ InferenceData object.
To experiment with the bleeding edge, check out https://github.com/sethaxen/DynamicPPLInferenceObjects.jl!
